plot multiple pandas series in multiple plots in python

To plot multiple pandas series in multiple plots in Python using matplotlib, first you need to have a pandas DataFrame containing the series you want to plot. You can then use matplotlib to create subplots and plot each series on a different subplot.

Here's some example code:

main.py
import pandas as pd
import matplotlib.pyplot as plt

# create some sample data
series1 = pd.Series([1, 2, 3])
series2 = pd.Series([4, 3, 5])
series3 = pd.Series([5, 6, 4])
df = pd.concat([series1, series2, series3], axis=1)
df.columns = ['series1', 'series2', 'series3']

# create subplots
fig, axs = plt.subplots(nrows=len(df.columns), ncols=1, figsize=(8, 8))

# plot each series on a different subplot
for i, col in enumerate(df.columns):
    axs[i].plot(df.index, df[col])
    axs[i].set_title(col)

# adjust subplots
plt.tight_layout()

# show plot
plt.show()

565 chars
24 lines

This will create a plot with three subplots, one for each series in the DataFrame. Each subplot will have a line plot of the corresponding series, and the title of the subplot will indicate which series it is. Adjust the figsize argument to suit your needs.

similar python code snippets

label plots in python
create a 2 by 4 graph in matplotlib in python
declare fontsize paramaters for matplotlib for the entire script in python
label a figure in matplotlib in python
create a plot in python
is there a positive sentiment about the deal in python
compare two plots in python
draw a beaver in python
create a crosstab bar graph in python
plot a line in python

related categories

pandas
matplotlib
plotting

gistlibby LogSnag