在matplotlib子图的主图侧面添加两个较小的子图 [英] Adding two smaller subplots to the side of my main plot in matplotlib subplots

问题描述

目前，我的图表仅在左侧显示主要的大图表.

Currently my chart is showing only the main big chart on the left.

但是，我现在想在主图的右侧添加两个较小的图；每个单独的数据集.

However, I now want to add the two smaller plots to the right-hand side of my main plot; with each individual set of data.

我正在努力研究子图以弄清楚如何做到这一点.我下面的照片显示了我想要的输出.

I am struggling with subplots to figure out how to do this. My photo below shows my desired output.

filenamesK = glob("C:/Users/Ke*.csv")
filenamesZ = glob("C:/Users/Ze*.csv")


K_Z_Averages = {'K':[], 'Z':[]}


# We will create a function for plotting, instead of nesting lots of if statements within a long for-loop.
def plot_data(filename, fig_ax, color):
    
    df = pd.read_csv(f, sep=',',skiprows=24) # Read in the csv.
    df.columns=['sample','Time','ms','Temp1'] # Set the column names
    df=df.astype(str) # Set the data type as a string.

    df["Temp1"] = df["Temp1"].str.replace('\+ ', '').str.replace(' ', '').astype(float) # Convert to float
    # Take the average of the data from the Temp1 column, starting from sample 60  until sample 150.
    avg_Temp1 = df.iloc[60-1:150+1]["Temp1"].mean()
    
    # Append this average to a K_Z_Averages, containing a column for average from each K file and the average from each Z file.
    # Glob returns the whole path, so you need to replace 0 for 10.
    K_Z_Averages[os.path.basename(filename)[0]].append(avg_Temp1)
    
    fig_ax.plot(df[["Temp1"]], color=color)

fig, ax = plt.subplots(figsize=(20, 15))

for f in filenamesK:
    plot_data(f, ax, 'blue')

for f in filenamesZ:
    plot_data(f, ax, 'red')
    

plt.show()

推荐答案

@max 的回答很好，但你也可以做 matplotlib>=3.3 的是

@max 's answer is fine, but something you can also do matplotlib>=3.3 is

import matplotlib.pyplot as plt
fig = plt.figure(constrained_layout=True)
axs = fig.subplot_mosaic([['Left', 'TopRight'],['Left', 'BottomRight']],
                          gridspec_kw={'width_ratios':[2, 1]})
axs['Left'].set_title('Plot on Left')
axs['TopRight'].set_title('Plot Top Right')
axs['BottomRight'].set_title('Plot Bottom Right')

请注意，重复使用名称'Left'两次表示该子图在布局中占据了两个位置.还要注意 width_ratios 的使用.

Note hw the repeated name 'Left' is used twice to indicate that this subplot takes up two slots in the layout. Also note the use of width_ratios.

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