Python 如何消除多余的X轴刻度?
这是一个从.xlsx文件读取数据并利用Plotly库绘制气泡图的程序。 以下是.xlsx文件的原始数据:Python 如何消除多余的X轴刻度?,python,pandas,plotly,Python,Pandas,Plotly,这是一个从.xlsx文件读取数据并利用Plotly库绘制气泡图的程序。 以下是.xlsx文件的原始数据: 1991 1992 1993 1994 1995 1996 1997 1998 1999 US 10 14 16 18 20 42 64 100 50 JAPAN 100 30 70 85 30 42 64 98 24
1991 1992 1993 1994 1995 1996 1997 1998 1999
US 10 14 16 18 20 42 64 100 50
JAPAN 100 30 70 85 30 42 64 98 24
CN 50 22 30 65 70 66 60 45 45
INDIA 90 88 35 50 90 60 40 66 76
UK 40 50 70 50 25 30 22 40 60
代码如下:
# Version 2
import plotly as py
import plotly.graph_objs as go
import openpyxl
import pandas as pd
wb = openpyxl.load_workbook('grape output.xlsx')
sheet = wb['Sheet1']
row_max = sheet.max_row
col_max = sheet.max_column
first_row_list = []
first_col_list = []
for col_n in range(2, col_max+1):
first_row_list.append(sheet.cell(row=1, column=col_n).value)
for row_n in range(2,row_max+1):
first_col_list.append(sheet.cell(row=row_n, column=1).value)
data_all = pd.read_excel('grape output.xlsx')
data_selected = data_all.loc[:,first_row_list]
df = pd.DataFrame(data_selected)
df.index = first_col_list
colors = ['rgb(150,204,90)','rgb(255, 130, 71)','rgb(255, 193, 37)','rgb(180,240,190)','rgb(255, 10, 1)',
'rgb(25, 19, 3)','rgb(100, 100, 100)','rgb(45,24,200)','rgb(33, 58, 108)','rgb(35, 208, 232)']
data = [go.Scatter(
x=df.columns,
y=[country]*len(df.columns),
mode='markers+text',
marker=dict(
color=colors[num],
size= df.loc[country],
showscale = False,
),
text=list(map(str, df.loc[country])),
textposition='middle center',
)
for num, country in enumerate(reversed(df.index))
]
layout = go.Layout(plot_bgcolor='rgb(10, 10, 10)',
paper_bgcolor='rgb(20, 55, 100)',
font={
'size': 15,
'family': 'sans-serif',
'color': 'rgb(255, 255, 255)'
},
width=1000,
height=800,
xaxis=dict(
title='Output of grapes per year in different countries',
nticks = col_max+1,
),
showlegend=False,
margin=dict(l=100, r=100, t=100, b=100),
hovermode = False,
)
fig = go.Figure(data=data, layout=layout)
py.offline.plot(fig, filename='basic-scatter.html')
气泡图绘制如下:
除了1990年和2000年的两个多余刻度以及两条白色垂直线外,一切正常。
我怎样才能做出一些改变来摆脱它们?谢谢大家! 如果在
xaxis
布局中设置type='category'
,两个多余的记号和相应的网格线将不再显示在绘图中,请参见下面的代码
import plotly as py
import plotly.graph_objs as go
import openpyxl
import pandas as pd
wb = openpyxl.load_workbook('grape output.xlsx')
sheet = wb['Sheet1']
row_max = sheet.max_row
col_max = sheet.max_column
first_row_list = []
first_col_list = []
for col_n in range(2, col_max+1):
first_row_list.append(sheet.cell(row=1, column=col_n).value)
for row_n in range(2,row_max+1):
first_col_list.append(sheet.cell(row=row_n, column=1).value)
data_all = pd.read_excel('grape output.xlsx')
data_selected = data_all.loc[:,first_row_list]
df = pd.DataFrame(data_selected)
df.index = first_col_list
colors = ['rgb(150,204,90)','rgb(255, 130, 71)','rgb(255, 193, 37)','rgb(180,240,190)','rgb(255, 10, 1)',
'rgb(25, 19, 3)','rgb(100, 100, 100)','rgb(45,24,200)','rgb(33, 58, 108)','rgb(35, 208, 232)']
data = [go.Scatter(
x=df.columns,
y=[country]*len(df.columns),
mode='markers+text',
marker=dict(
color=colors[num],
size= df.loc[country],
showscale = False,
),
text=list(map(str, df.loc[country])),
textposition='middle center',
)
for num, country in enumerate(reversed(df.index))
]
layout = go.Layout(plot_bgcolor='rgb(10, 10, 10)',
paper_bgcolor='rgb(20, 55, 100)',
font={
'size': 15,
'family': 'sans-serif',
'color': 'rgb(255, 255, 255)'
},
width=1000,
height=800,
xaxis=dict(
title='Output of grapes per year in different countries',
nticks = col_max+1,
type='category'
),
showlegend=False,
margin=dict(l=100, r=100, t=100, b=100),
hovermode = False,
)
fig = go.Figure(data=data, layout=layout)
py.offline.plot(fig, filename='basic-scatter.html')
谢谢!gflvia