We Keep Coding

Odd behavior of plotting in Pandas

I would like to know if the behavior of the following code is expected.
The first figure (Series) is saved as I would expect. The second (DataFrame) is not.
If this is not a bug, how can I achieve my (obvious) goal?
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fig = plt.figure()
pd.Series(np.random.randn(100)).plot()
fig.savefig('c:\\temp\\plt_series.png')
fig = plt.figure()
pd.DataFrame(np.random.randn(100,2)).plot()
fig.savefig('c:\\temp\\plt_df.png')

After saving the figure, close the current plot using plt.close() to close the current figure, otherwise the old one is still active even if the next plot is being generated. You can also use plt.close('all') to be sure all open figures are closed.

My plot bar graph isn't showing up. What's wrong with my code

import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
%matplotlib notebook
plt.figure(figsize=(12, 6))
CasData.pivot(index='year', columns='CasualtyNumber', values='People').plot(kind='bar')
plt.title('Casualties per year')
plt.xlabel('Year', fontsize=5)
plt.ylabel('Number of Casualties')
plt.show()
My plot bar graph using matplotlib.pyplot isn't showing.
I don't know why but my bar graph isn't showing. I've tried different ways.
If someone could help me out please. I'd appreciate it. Thank you.

Remove the line %matplotlib notebook.
It is overriding the previous line (these two lines are setting the backend). inline returns static plots, notebook is used for interactivity.
You also do not need the plt.show() line. This is taken care of by the inline backend.
This answer explains more about the backends: https://stackoverflow.com/a/43028034/6709902

I'm not really sure about your code as it seems incomplete but if you're using pivot I assumed you're pulling the data from a ".csv" file.
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
%matplotlib notebook
CasData = pd.read_csv('data.csv')
CasData.pivot_table(index='year', columns='CasualtyNumber', values='People').plot(kind='bar')
plt.title('Casualties per year')
plt.xlabel('Year',fontsize='5')
plt.ylabel('Number of Casualties')
plt.show()
You need to provide the data in order to plot something and I don't
see you providing any.

box plot not appearing in Google Colab

Trying to create a simple Box Plot using Google Colab for my Intro Python class. It is not appearing as I would like it. You can see my code and output below. I read in a file on NBA statistics, and my box plot would be based on a variable called "SHOT_CLOCK".
So far what I have:
import pandas as pd
from matplotlib import pyplot as plt
df = pd.read_csv('file path')
plt.boxplot(df['SHOT_CLOCK'], vert=False)
plt.title('Box Plot for SHOT_CLOCK')
plt.xlabel('Shot Clock')
plt.show()
Output:

Edit
In your example you are passing a Series object, try this way
plt.figure()
plt.title('Box Plot for SHOT_CLOCK')
plt.xlabel('Shot Clock')
df.boxplot(column='SHOT_CLOCK')

Once you add the following Import to your code it will work:
import matplotlib.pyplot as plt
plt.style.use('classic')
%matplotlib inline

Python candlestick chart can not show

I executed the code below and no errors showed in the process, but plt.show() could not work and showed nothing in the end! I'm confused and want to know why......
from mpl_finance import candlestick_ohlc
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import quandl
df = quandl.get("EOD/AAPL", authtoken="fzTPb-TWywaPkbdAS1VF")
df['Date'] = df.index.map(mdates.date2num)
ohlc = df[['Date','Open','High','Low','Close']]
f1, ax = plt.subplots(figsize = (10,5))
candlestick_ohlc(ax, ohlc.values, width=.6, colorup='green', colordown='red')
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
plt.show()

In jupyter notebook it makes sense to define a backend, e.g. %matplotlib inline or %matplotlib notebook.
When then running your code in a singe cell it should show you the plot.
If you need to run it in seperate cells, plt.show() will not know what to show from previous cells. So in that case, state the figure instead,
f1
to show the figure f1.

Making a chart bigger in size

I'm trying to get a bigger chart. However, the figure method from matplotlib does not seem to be working properly.
I get a message, which is not an error:
import pandas.io.data as web
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
...
plt.figure(figsize=(20,10))
df2['media']= df2['SPY']*.6 + df2['TLT']*.4
df2.plot()
plt.show()
What's wrong with my code?

You can skip the first plt.figure() and just use the argument figsize:
df2.plot(figsize=(20,10))
See docs.