使用matplotlib在python代码for-loop中将折线图转换为条形图

Question

I have a script that takes multiple .csv files and outputs multiple line plots. I would like for these plots to be bar charts since they're showing rainfall. But I haven't been able to get plot.bar.() to work. This is the code that works for me so far but it's not correct. Any help?

import pandas as pd
import time
import os
import matplotlib.pyplot as plt

files = ['w.pod.csv',
    't.pod.csv',
    'r.pod.csv',
    'n.pod.csv',
    'm.pod.csv',
    'k.pod.csv',
    'j.pod.csv',
    'h.pod.csv',
    'g.pod.csv',
    'c.pod.csv',
    'b.pod.csv']

for f in files:
    fn = f.split('.')[0]
    dat = pd.read_csv(f)
    df0 = dat.loc[:, ['TimeStamp', 'RF']]
    # Change time format
    df0["time"] = pd.to_datetime(df0["TimeStamp"])
    df0["day"] = df0['time'].map(lambda x: x.day)
    df0["month"] = df0['time'].map(lambda x: x.month)
    df0["year"] = df0['time'].map(lambda x: x.year)
    df0.to_csv('{}_1.csv'.format(fn), na_rep="0")  # write to csv

    # Combine for daily rainfall
    df1 = pd.read_csv('{}_1.csv'.format(fn), encoding='latin-1',
                  usecols=['day', 'month', 'year', 'RF', 'TimeStamp'])
    df2 = df1.groupby(['day', 'month', 'year'], as_index=False).sum()
    df2.to_csv('{}_2.csv'.format(fn), na_rep="0", header=None)  # write to csv

    # parse date
    df3 = pd.read_csv('{}_2.csv'.format(fn), header=None, index_col='datetime',
                 parse_dates={'datetime': [1,2,3]},
                 date_parser=lambda x: pd.datetime.strptime(x, '%d %m %Y'))

    def dt_parse(date_string):
        dt = pd.datetime.strptime(date_string, '%d %m %Y')
        return dt

    # sort datetime
    df4 = df3.sort()
    final = df4.reset_index()

    # rename columns
    final.columns = ['date', 'bleh', 'rf']

    final[['date','rf']].plot()
    plt.suptitle('{} Rainfall 2015-2016'.format(fn), fontsize=20)
    plt.xlabel('Date', fontsize=18)
    plt.ylabel('Rain / mm', fontsize=16)
    plt.savefig('{}.png'.format(fn))

This is an extension of my previous question: Automate making multiple plots in python using several .csv files

Answer 1

Use DataFrame.plot.bar :

final[['date','rf']].plot.bar()

Or DataFrame.plot :

final[['date','rf']].plot(kind='bar')