Not able to create a 3x3 grid of subplots to visualize 9 Series individually

问题

I want to have a 3x3 grid of subplots to visualize each Series individually. I first created some toy data:

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style='whitegrid', rc={"figure.figsize":(14,6)})

rs = np.random.RandomState(444)
dates = pd.date_range(start="2009-01-01", end='2019-12-31', freq='1D')
values = rs.randn(4017,12).cumsum(axis=0)
data = pd.DataFrame(values, dates, columns =['a','b','c','d','e','f','h','i','j','k','l','m'])

Here is the first code I wrote:

fig, ax = plt.subplots(3, 3, sharex=True, sharey=True)
for col in n_cols:
    ax = data[col].plot()

With these lines of code the problem is that I get the 3x3 grid but all the columns have been plotten on the same subplotsAxes, in the bottom right corner. Bottom Right Corner with all Lines

Here is the second thing I tried:

n_cols = ['a', 'b', 'c', 'd', 'e', 'f', 'h', 'i', 'j']
fig, ax = plt.subplots(3, 3, sharex=True, sharey=True)
for col in n_cols:
    for i in range(3):
        for j in range(3):
            ax[i,j].plot(data[col])

But now I get all the columns plotted on every single subplotAxes. All AxesSubplot with same lines

And if I try something like this:

fig, ax = plt.subplots(sharex=True, sharey=True)
for col in n_cols:
    for i in range(3):
        for j in range(3):
            ax[i,j].add_subplot(data[col])

But I get: TypeError: 'AxesSubplot' object is not subscriptable

I am sorry but can't figure out what to do.

回答1:

Currently you're plotting each series in each of the subplots:

for col in n_cols:
    for i in range(3):
        for j in range(3):
            ax[i,j].plot(data[col])

Following your example code, here is a way to only plot a single series per subplot:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

rs = np.random.RandomState(444)
dates = pd.date_range(start="2009-01-01", end='2019-12-31', freq='1D')
values = rs.randn(4017,12).cumsum(axis=0)
data = pd.DataFrame(values, dates, columns =['a','b','c','d','e','f','h','i','j','k','l','m'])

n_cols = ['a', 'b', 'c', 'd', 'e', 'f', 'h', 'i', 'j']
fig, ax = plt.subplots(3, 3, sharex=True, sharey=True)

for i in range(3):
    for j in range(3):
        col_name = n_cols[i*3+j]
        ax[i,j].plot(data[col_name])

plt.show()

来源：https://stackoverflow.com/questions/59512068/not-able-to-create-a-3x3-grid-of-subplots-to-visualize-9-series-individually

标签

matplotlib

subplot