在工作日名称中绘制 xaxis

Question

我查看了文档，但他们似乎没有提及。

https://plot.ly/python/axes/

如何更改 x 轴上的标签以显示“Mon 20-7”、“Tue 21-7”等。 xaxis 使用的“日期”格式为“20-7-2018 11:00:00am”等。

我使用以下 Python Plotly 脚本：

trace0=go.Scatter(x=df_pre.index,y=df_pre['Total'],line=dict(color=('rgb(16,25,109)'),width=1),name='Period_1')

trace1=go.Scatter(x=df_post.index,y=df_post['Total'],line=dict(color=('rgb(77,221,26)'),width=2),name='Period_2')

data=[trace0,trace1]

layout=dict(title='Total',width=960,height=768,
              yaxis=dict(title='Avg',ticklen=5,zeroline=False,gridwidth=2,),
              xaxis=dict(title='Date',ticklen=5,zeroline=False,gridwidth= 2,))

fig=dict(data=data,layout=layout)

iplot(fig,filename='Total')

任何帮助将不胜感激

Answer 1

如果您想在 xaxis 上看到“Tue 14-08”，请按照以下步骤操作（在下面的代码中添加）：

1.根据您的要求创建一个列

df_pre["date2"] = df_pre["date"].apply(lambda x: datetime.datetime.\
                strptime(x,"%d-%m-%Y %I:%M:%S%p").strftime("%a %d-%m"))
print(df_pre["date2"])
0    Tue 14-08
1    Wed 15-08
2    Thu 16-08
3    Fri 17-08
4    Sat 18-08
Name: date2, dtype: object

2.从您希望在 xaxis 上看到的列创建一个名为“list_”的列表 (df_pre["date2"])

list_ = df_pre["date2"].tolist()
print(list_)
['Tue 14-08', 'Wed 15-08', 'Thu 16-08', 'Fri 17-08', 'Sat 18-08']

3.在 xaxis Layout 中放入两个参数 tickvals 和 ticktext：在第一个参数中输入要迭代多少个值。在第二个参数中选择你的文本（例如我们从列df["date2"] 得到的list_）

layout=dict(title="Total",width=960,height=768,
            yaxis=dict(title="Avg",ticklen=5,zeroline=False,gridwidth=2),
            xaxis=dict(title="Date",ticklen=5,zeroline=False,gridwidth=2,
                       #Choose what you want to see on xaxis! In this case list_
                       tickvals=[i for i in range(len(list_))],
                       ticktext=list_
                       ))

输出应该是这样的：

我在文档中找不到您需要的选项。但别忘了，你可以准备好数据，之后可以放入x，使用Python和pandas：

#Import all what we need
import pandas as pd
import plotly
import plotly.graph_objs as go
#Create first DataFrame
df_pre = pd.DataFrame({"date":["14-08-2018 11:00:00am",
                               "15-08-2018 12:00:00am",
                               "16-08-2018 01:00:00pm",
                               "17-08-2018 02:00:00pm",
                               "18-08-2018 03:00:00pm"],
                       "number":["3","5","10","18","22"]})
#Create a column which corresponds to your requirements
df_pre["dow"] = pd.to_datetime(df_pre["date"], \
                               format="%d-%m-%Y %I:%M:%S%p").dt.weekday_name
df_pre["firstchunk"] = df_pre["dow"].astype(str).str[0:3]
df_pre["lastchunk"] = df_pre["date"].astype(str).str[0:5]
df_pre["final"] = df_pre["firstchunk"] + " " + df_pre["lastchunk"]
#Check DataFrame
print(df_pre)
#Repeat all the actions above to the second DataFrame
df_post = pd.DataFrame({"date":["14-08-2018 11:00:00am",
                                "15-08-2018 12:00:00am",
                                "16-08-2018 01:00:00pm",
                                "17-08-2018 02:00:00pm",
                                "18-08-2018 03:00:00pm"],
                        "number":["6","8","12","19","23"]})
df_post["dow"] = pd.to_datetime(df_post["date"], \
                                format="%d-%m-%Y %I:%M:%S%p").dt.weekday_name
df_post["firstchunk"] = df_post["dow"].astype(str).str[0:3]
df_post["lastchunk"] = df_post["date"].astype(str).str[0:5]
df_post["final"] = df_post["firstchunk"] + " " + df_post["lastchunk"]
print(df_post)
#Create list needed for xaxis
list_ = df_pre["final"].tolist()
print(list_)
#Prepare data
trace0=go.Scatter(x=df_pre["date"],y=df_pre["number"],
                  line=dict(color=("rgb(16,25,109)"),width=1),name="Period_1")
trace1=go.Scatter(x=df_post["date"],y=df_post["number"],
                  line=dict(color=("rgb(77,221,26)"),width=2),name="Period_2")
data = [trace0,trace1]
#Prepare layout
layout=dict(title="Total",width=960,height=768,
            yaxis=dict(title="Avg",ticklen=5,zeroline=False,gridwidth=2),
            xaxis=dict(title="Date",ticklen=5,zeroline=False,gridwidth=2,
                       #Choose what you want to see on xaxis! In this case list_
                       tickvals=[i for i in range(len(list_))],
                       ticktext=list_
                       ))
fig = go.Figure(data=data, layout=layout)
#Save plot as "Total.html" in directory where your script is
plotly.offline.plot(fig, filename="Total.html", auto_open = False)

更新：您也可以尝试使用datetime 来实现您想要的（更简单）：

#Import all what we need
import pandas as pd
import plotly
import plotly.graph_objs as go
import datetime
#Create first DataFrame
df_pre = pd.DataFrame({"date":["14-08-2018 11:00:00am",
                               "15-08-2018 12:00:00am",
                               "16-08-2018 01:00:00pm",
                               "17-08-2018 02:00:00pm",
                               "18-08-2018 03:00:00pm"],
                       "number":["3","5","10","18","22"]})
#Create a column which corresponds to your requirements
df_pre["date2"] = df_pre["date"].apply(lambda x: datetime.datetime.\
            strptime(x,"%d-%m-%Y %I:%M:%S%p").strftime("%a %d-%m"))
#Check DataFrame
print(df_pre)
#Repeat all the actions above to the second DataFrame
df_post = pd.DataFrame({"date":["14-08-2018 11:00:00am",
                                "15-08-2018 12:00:00am",
                                "16-08-2018 01:00:00pm",
                                "17-08-2018 02:00:00pm",
                                "18-08-2018 03:00:00pm"],
                        "number":["6","8","12","19","23"]})
df_post["date2"] = df_post["date"].apply(lambda x: datetime.datetime.\
             strptime(x,'%d-%m-%Y %I:%M:%S%p').strftime("%a %d-%m"))
print(df_post)
#Create list that needed to xaxis
list_ = df_pre["date2"].tolist()
print(list_)
#Prepare data
trace0=go.Scatter(x=df_pre["date"],y=df_pre["number"],
                  line=dict(color=("rgb(16,25,109)"),width=1),name="Period_1")
trace1=go.Scatter(x=df_post["date"],y=df_post["number"],
                  line=dict(color=("rgb(77,221,26)"),width=2),name="Period_2")
data = [trace0,trace1]
#Prepare layout
layout=dict(title="Total",width=960,height=768,
            yaxis=dict(title="Avg",ticklen=5,zeroline=False,gridwidth=2),
            xaxis=dict(title="Date",ticklen=5,zeroline=False,gridwidth=2,
                       #Choose what you want to see on xaxis! In this case list_
                       tickvals=[i for i in range(len(list_))],
                       ticktext=list_
                       ))
fig = go.Figure(data=data, layout=layout)
#Save plot as "Total.html" in directory where your script is
plotly.offline.plot(fig, filename="Total.html")

Answer 2

你可以这样做：-

data = [go.Scatter(x=df.Date, y=df.High)]

如需更多参考，您可以参考此链接：- https://plot.ly/python/time-series/

学习愉快！