英文:
How can I merge multiple charts?
问题
你好，以下是您要翻译的内容：
"I have 3 charts one bar plot and 2 line plots. How can I merge them together and get one chart without disturbing their individual properties?
Here is the code I'm using to create 3 charts:
ax = plt.subplots()# creating axes object and defining plotsax1 = dataset.plot(kind='bar', x='month', y='max_temp', color='lightblue', secondary_y=True, linewidth=3, alpha=0.5, legend=False)ax2 = dataset.plot(kind='line', x='month', y='min_temp', color='green', linewidth=3, marker='o', markerfacecolor='white', markersize=12, legend=False)ax3 = dataset.plot(kind='line', x='month', y='max_temp', color='blue', linewidth=3, marker='o', markerfacecolor='white', markersize=12, legend=False)ax1.invert_yaxis()ax2.fill_between(dataset['month'], dataset['min_temp'], color='lightgreen', alpha=0.5)ax3.fill_between(dataset['month'], dataset['max_temp'], color='lightblue', alpha=0.5)# title of the plotplt.title("Daily Forecast", loc='left')# labeling x and y-axesax2.set_ylabel('Temperature (Degree °C)', color="black")ax1.set_ylabel('Rainfall (mm)', color='black')plt.savefig('file_name.jpg', dpi=400)# show plotplt.show()
从上面的代码中，我得到以下输出：
如何将它们合并成一个单一的图表，而不影响它们各自的属性？
英文:
I have 3 charts one bar plot and 2 lint plot
How can I merge them together and get one chart without disturbing their individual properties
Here is the code I m using to create 3 charts
ax = plt.subplots()# creating axes object and defining plotax1 = dataset.plot(kind = 'bar', x = 'month', y = 'max_temp', color = 'lightblue', secondary_y = True, linewidth = 3, alpha=0.5, legend=False)ax2 = dataset.plot(kind = 'line', x = 'month', y = 'min_temp', color = 'green', linewidth = 3, marker='o', markerfacecolor='white', markersize=12, legend=False)ax3 = dataset.plot(kind = 'line', x = 'month', y = 'max_temp', color = 'blue', linewidth = 3, marker='o', markerfacecolor='white', markersize=12, legend=False)ax1.invert_yaxis()ax2.fill_between(dataset['month'], dataset['min_temp'], color='lightgreen', alpha=0.5)ax3.fill_between(dataset['month'], dataset['max_temp'], color='lightblue', alpha=0.5)#title of the plotplt.title("Daily Forecast", loc='left')#labeling x and y-axisax2.set_ylabel('Temperature (Degree °C)', color = "black")ax1.set_ylabel('Rainfall (mm)', color = 'black')#defining display layout# plt.legend( bbox_to_anchor=(1.05, 1.35), loc='upper right')plt.savefig('file_name.jpg', dpi=400)#show plotplt.show()
and from the above code this output I am getting in here
How can I combine them all in one and make I single charts without disturbing there properties
答案1
得分: 1
IIUC，您可以使用：
fig, ax = plt.subplots(figsize=(6, 4))ax2 = ax.twinx() # to isolate the line plotsdataset.plot(kind='bar', x='month', y='rainfall',color='lightblue', ax=ax, width=0.4, legend=False)ax.invert_yaxis() # to invert the y-axis for the bar plotax2.plot(dataset['month'], dataset['min_temp'], color='green',linewidth=3, marker='o', markerfacecolor='white', markersize=12)ax2.fill_between(dataset['month'], dataset['min_temp'], color='lightgreen', alpha=0.5)ax2.plot(dataset['month'], dataset['max_temp'], color='blue',linewidth=3, marker='o', markerfacecolor='white', markersize=12)ax2.fill_between(dataset['month'], dataset['max_temp'], color='lightblue', alpha=0.5)ax.set_ylabel('Rainfall (mm)', color='black')ax2.set_ylabel('Temperature (Degree °C)', color='black')ax.set_title('Daily Forecast', loc='left')ax.yaxis.tick_right()ax.yaxis.set_label_position('right')ax2.yaxis.tick_left()ax2.yaxis.set_label_position('left')plt.show();
Output :
Input used :
np.random.seed(123456)dataset = pd.DataFrame({'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May'],'max_temp': np.random.randint(25, 40, 5),'min_temp': np.random.randint(15, 25, 5),'rainfall': np.random.randint(30, 70, 5)})
英文:
IIUC, you can use :
fig, ax = plt.subplots(figsize=(6, 4))ax2 = ax.twinx() # to isolate the line plotsdataset.plot(kind='bar', x='month', y='rainfall',color='lightblue', ax=ax, width=0.4, legend=False)ax.invert_yaxis() # to invert the y-axis for the bar plotax2.plot(dataset['month'], dataset['min_temp'], color='green',linewidth=3, marker='o', markerfacecolor='white', markersize=12)ax2.fill_between(dataset['month'], dataset['min_temp'], color='lightgreen', alpha=0.5)ax2.plot(dataset['month'], dataset['max_temp'], color='blue',linewidth=3, marker='o', markerfacecolor='white', markersize=12)ax2.fill_between(dataset['month'], dataset['max_temp'], color='lightblue', alpha=0.5)ax.set_ylabel('Rainfall (mm)', color='black')ax2.set_ylabel('Temperature (Degree °C)', color='black')ax.set_title('Daily Forecast', loc='left')ax.yaxis.tick_right()ax.yaxis.set_label_position('right')ax2.yaxis.tick_left()ax2.yaxis.set_label_position('left')plt.show();
Output :
Input used :
np.random.seed(123456)dataset = pd.DataFrame({'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May'],'max_temp': np.random.randint(25, 40, 5),'min_temp': np.random.randint(15, 25, 5),'rainfall': np.random.randint(30, 70, 5)})
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