.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/pandas/plot_main01.py"
.. LINE NUMBERS ARE GIVEN BELOW.
.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here <sphx_glr_download__examples_pandas_plot_main01.py>`
to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr__examples_pandas_plot_main01.py:
99. Basic Example
==================
.. GENERATED FROM PYTHON SOURCE LINES 5-41
.. code-block:: default
:lineno-start: 6
# Library
import numpy as np
import pandas as pd
# Show in terminal
TERMINAL = False
# Create data
data = [
['p1', '1/5/2021', 1, 2, 3],
['p1', '2/5/2021', 3, 3, 3],
['p1', '3/5/2021', 4, 4, 4],
['p1', '5/5/2021', 5, 5, 5],
['p2', '11/5/2021', 5, 3, 3],
['p2', '12/5/2021', 4, 3, None],
['p2', '16/5/2021', None, 1, None], # unordered
['p2', '15/5/2021', 5, 2, 4],
]
# Load DataFrame
data = pd.DataFrame(data,
columns=['patient', 'date', 'plt', 'hct', 'bil'])
# Format datetime
# Date will be a datetime64[ns] instead of string
data.date = pd.to_datetime(data.date, dayfirst=True)
data.date = data.date.dt.normalize()
# Show
if TERMINAL:
print("\nData:")
print(data)
data
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
<td>2</td>
<td>3.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
<td>4</td>
<td>4.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
<td>5</td>
<td>5.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>5</th>
<td>p2</td>
<td>2021-05-12</td>
<td>4.0</td>
<td>3</td>
<td>NaN</td>
</tr>
<tr>
<th>6</th>
<td>p2</td>
<td>2021-05-16</td>
<td>NaN</td>
<td>1</td>
<td>NaN</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
<td>2</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 42-43
Lets sort values
.. GENERATED FROM PYTHON SOURCE LINES 43-54
.. code-block:: default
:lineno-start: 44
# Note that if you set columns as indexes (e.g. the
# datetime) they will be sorted by default.
aux = data.sort_values(by=['plt', 'hct'])
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
<td>2</td>
<td>3.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>5</th>
<td>p2</td>
<td>2021-05-12</td>
<td>4.0</td>
<td>3</td>
<td>NaN</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
<td>4</td>
<td>4.0</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
<td>2</td>
<td>4.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
<td>5</td>
<td>5.0</td>
</tr>
<tr>
<th>6</th>
<td>p2</td>
<td>2021-05-16</td>
<td>NaN</td>
<td>1</td>
<td>NaN</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 55-56
Lets select columns
.. GENERATED FROM PYTHON SOURCE LINES 56-66
.. code-block:: default
:lineno-start: 57
# Select columns from DataFrame
aux = data[['patient', 'date', 'plt']]
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
</tr>
<tr>
<th>5</th>
<td>p2</td>
<td>2021-05-12</td>
<td>4.0</td>
</tr>
<tr>
<th>6</th>
<td>p2</td>
<td>2021-05-16</td>
<td>NaN</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 67-69
Lets do indexing (not nan)
.. GENERATED FROM PYTHON SOURCE LINES 69-80
.. code-block:: default
:lineno-start: 70
# Keep rows where plt is not nan
aux = data[data.plt.notna()]
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
<td>2</td>
<td>3.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
<td>4</td>
<td>4.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
<td>5</td>
<td>5.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>5</th>
<td>p2</td>
<td>2021-05-12</td>
<td>4.0</td>
<td>3</td>
<td>NaN</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
<td>2</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 81-83
Lets drop nan (in subset)
.. GENERATED FROM PYTHON SOURCE LINES 83-94
.. code-block:: default
:lineno-start: 84
# Keep rows without any nan in subset
aux = data.dropna(how='any', subset=['plt', 'bil'])
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
<td>2</td>
<td>3.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
<td>4</td>
<td>4.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
<td>5</td>
<td>5.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
<td>2</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 95-97
Lets drop nan (all)
.. GENERATED FROM PYTHON SOURCE LINES 97-107
.. code-block:: default
:lineno-start: 98
# Keep rows without any nan at all
aux = data.dropna(how='any')
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>date</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p1</td>
<td>2021-05-01</td>
<td>1.0</td>
<td>2</td>
<td>3.0</td>
</tr>
<tr>
<th>1</th>
<td>p1</td>
<td>2021-05-02</td>
<td>3.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>2</th>
<td>p1</td>
<td>2021-05-03</td>
<td>4.0</td>
<td>4</td>
<td>4.0</td>
</tr>
<tr>
<th>3</th>
<td>p1</td>
<td>2021-05-05</td>
<td>5.0</td>
<td>5</td>
<td>5.0</td>
</tr>
<tr>
<th>4</th>
<td>p2</td>
<td>2021-05-11</td>
<td>5.0</td>
<td>3</td>
<td>3.0</td>
</tr>
<tr>
<th>7</th>
<td>p2</td>
<td>2021-05-15</td>
<td>5.0</td>
<td>2</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 108-110
Lets resample daily
.. GENERATED FROM PYTHON SOURCE LINES 110-120
.. code-block:: default
:lineno-start: 111
# Resample
aux = data.set_index('date').resample('D').asfreq()
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
<tr>
<th>date</th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>2021-05-01</th>
<td>p1</td>
<td>1.0</td>
<td>2.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-02</th>
<td>p1</td>
<td>3.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-03</th>
<td>p1</td>
<td>4.0</td>
<td>4.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-04</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-05</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-06</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-07</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-08</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-09</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-10</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-11</th>
<td>p2</td>
<td>5.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-12</th>
<td>p2</td>
<td>4.0</td>
<td>3.0</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-13</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-14</th>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2021-05-15</th>
<td>p2</td>
<td>5.0</td>
<td>2.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-16</th>
<td>p2</td>
<td>NaN</td>
<td>1.0</td>
<td>NaN</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 121-123
Lets fill missing values (pad)
.. GENERATED FROM PYTHON SOURCE LINES 123-133
.. code-block:: default
:lineno-start: 124
# Pad is synonym of DataFrame.fillna() with method='ffill'.
aux = data.set_index('date').resample('D').asfreq().pad()
# Show
if TERMINAL:
print("\nOut:")
print(aux)
aux
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>patient</th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
<tr>
<th>date</th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>2021-05-01</th>
<td>p1</td>
<td>1.0</td>
<td>2.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-02</th>
<td>p1</td>
<td>3.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-03</th>
<td>p1</td>
<td>4.0</td>
<td>4.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-04</th>
<td>p1</td>
<td>4.0</td>
<td>4.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-05</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-06</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-07</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-08</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-09</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-10</th>
<td>p1</td>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-11</th>
<td>p2</td>
<td>5.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-12</th>
<td>p2</td>
<td>4.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-13</th>
<td>p2</td>
<td>4.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-14</th>
<td>p2</td>
<td>4.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-15</th>
<td>p2</td>
<td>5.0</td>
<td>2.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-16</th>
<td>p2</td>
<td>5.0</td>
<td>1.0</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 134-135
Lets group by patient and sum
.. GENERATED FROM PYTHON SOURCE LINES 135-145
.. code-block:: default
:lineno-start: 136
# Group by patient and sum
agg = aux.groupby('patient').sum()
# Show
if TERMINAL:
print("\nOut:")
print(agg)
agg
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
<tr>
<th>patient</th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>p1</th>
<td>42.0</td>
<td>43.0</td>
<td>44.0</td>
</tr>
<tr>
<th>p2</th>
<td>27.0</td>
<td>15.0</td>
<td>20.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. GENERATED FROM PYTHON SOURCE LINES 146-147
Lets group by patient per 2 days and compute mean and max.
.. GENERATED FROM PYTHON SOURCE LINES 147-160
.. code-block:: default
:lineno-start: 148
agg = aux.groupby(by=['patient', pd.Grouper(freq='2D')]) \
.agg('mean', 'max')
#.agg({'idx': ['first', 'last'],
# 0: [skew, kurtosis, own],
# 1: [skew, kurtosis, own],
# '0_hr': [own],
# '0_rr': [own]})
# Show
if TERMINAL:
print("\nOut:")
print(agg)
agg
.. raw:: html
<div class="output_subarea output_html rendered_html output_result">
<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th></th>
<th>plt</th>
<th>hct</th>
<th>bil</th>
</tr>
<tr>
<th>patient</th>
<th>date</th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th rowspan="5" valign="top">p1</th>
<th>2021-05-01</th>
<td>2.0</td>
<td>2.5</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-03</th>
<td>4.0</td>
<td>4.0</td>
<td>4.0</td>
</tr>
<tr>
<th>2021-05-05</th>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-07</th>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th>2021-05-09</th>
<td>5.0</td>
<td>5.0</td>
<td>5.0</td>
</tr>
<tr>
<th rowspan="3" valign="top">p2</th>
<th>2021-05-11</th>
<td>4.5</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-13</th>
<td>4.0</td>
<td>3.0</td>
<td>3.0</td>
</tr>
<tr>
<th>2021-05-15</th>
<td>5.0</td>
<td>1.5</td>
<td>4.0</td>
</tr>
</tbody>
</table>
</div>
</div>
<br />
<br />
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.046 seconds)
.. _sphx_glr_download__examples_pandas_plot_main01.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: plot_main01.py <plot_main01.py>`
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: plot_main01.ipynb <plot_main01.ipynb>`
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_