I want plot the graphs one by one from the dataframe with FOR operator.
names_list = df.columns.tolist()
for name in names_list:
df[name].plot(figsize=(25, 5))
This code is no good. The graphs are depicted in one figure, but should be in different ones.
How can I get multiple charts instead of one?
Try the following:
names_list = df.columns.tolist()
for name in names_list:
fig, ax = plt.subplots(figsize=(25, 5))
df[name].plot(ax=ax)
If you're able to use seaborn here's an example using a FacetGrid:
import seaborn as sns, matplotlib.pyplot as plt
In [102]: df.head(3)
Out[102]:
Date Consumption Wind Solar Wind+Solar name
0 2006-01-01 1069.184 NaN NaN NaN mid
1 2006-01-02 1380.521 NaN NaN NaN mid
2 2006-01-03 1442.533 NaN NaN NaN high
g = sns.FacetGrid(data=df,col='name',col_wrap=1,hue='name')
g.fig.set_size_inches(6,3) # compressed just to show example
g.map(sns.lineplot,'Date','Consumption')
plt.show()
Result:
