import pandas as pd
# Reading data locally
df = pd.read_csv('fujian1.csv', encoding='gbk')
counts = df['City'].value_counts()
counts[counts > 1000].plot(kind = 'bar')

font.family   : sans-serif
#font.style   : normal
#font.variant  : normal
#font.weight   : medium
#font.stretch  : normal
# note that font.size controls default text sizes. To configure
# special text sizes tick labels, axes, labels, title, etc, see the rc
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
#font.size   : 12.0
font.serif   : SimHei, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
font.sans-serif  : SimHei, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
#font.cursive  : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
#font.fantasy  : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
#font.monospace  : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace