def polarChart(df):
type_of_plot = st.selectbox("Select Type of Plot",["POLAR1","POLAR2","POLAR3 Angle"])
all_columns = df.columns
#st.success("Generating Customizable Plot of {} for {}".format(type_of_plot))
if type_of_plot == 'POLAR1':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
# columns_to_plot2 = st.selectbox("Select 1 column",all_columns, key='c' )
n = df[[columns_to_plot, columns_to_plot1]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
# cje = df[columns_to_plot].tolist()
# other_var = df[columns_to_plot1].sort_values(ascending = True).tolist()
# other_var1 = df[columns_to_plot2].tolist()
polar = Polar()
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_="category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts())
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=True, position='inside', font_size=8,
font_weight='bold'))
return polar
if type_of_plot == 'POLAR2':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
columns_to_plot2 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot]], key='c' )
columns_to_plot3 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot]], key='c' )
columns_to_plot4 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot, columns_to_plot3]], key='c' )
n = df[[columns_to_plot, columns_to_plot1, columns_to_plot2, columns_to_plot3, columns_to_plot4]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
other_var2 = n[columns_to_plot2].tolist()
other_var3 = n[columns_to_plot3].tolist()
other_var4 = n[columns_to_plot4].tolist()
polar = Polar()
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_= "category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar" )
polar.add(columns_to_plot2, other_var2, type_="bar")
polar.add(columns_to_plot3, other_var3, type_="bar")
polar.add(columns_to_plot4, other_var4, type_="bar")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts(),)
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=True))
return polar
if type_of_plot == 'POLAR3 Angle':
columns_to_plot = st.selectbox("Select 1 column",all_columns,key='a' )
columns_to_plot1 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot]], key='b' )
columns_to_plot2 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot]], key='c' )
columns_to_plot3 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot]], key='c' )
columns_to_plot4 = st.selectbox("Select 1 column",[col for col in df.columns if col not in [columns_to_plot1, columns_to_plot2,columns_to_plot, columns_to_plot3]], key='c' )
n = df[[columns_to_plot, columns_to_plot1, columns_to_plot2, columns_to_plot3, columns_to_plot4]].sort_values(by = columns_to_plot1 , ascending = True)
cje = n[columns_to_plot].tolist()
other_var = n[columns_to_plot1].tolist()
other_var2 = n[columns_to_plot2].tolist()
other_var3 = n[columns_to_plot3].tolist()
other_var4 = n[columns_to_plot4].tolist()
polar = Polar()
polar.add_schema(
# radiusaxis_opts=opts.RadiusAxisOpts( data = cje ,type_= "category",
# splitline_opts=opts.SplitLineOpts(is_show=False),
# axisline_opts=opts.AxisLineOpts(is_show=False),
# axistick_opts=opts.AxisTickOpts(is_show=False)),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True,type_= "category",
splitline_opts=opts.SplitLineOpts(is_show=False),
axisline_opts=opts.AxisLineOpts(is_show=False),
axislabel_opts=opts.LabelOpts(is_show=False),
axistick_opts=opts.AxisTickOpts(is_show=False)))
polar.add(columns_to_plot1, other_var, type_="bar", stack="stack0" )
polar.add(columns_to_plot2, other_var2, type_="bar" , stack="stack0")
polar.add(columns_to_plot3, other_var3, type_="bar" , stack="stack0")
polar.add(columns_to_plot4, other_var4, type_="bar" , stack="stack0")
polar.set_global_opts(toolbox_opts=opts.ToolboxOpts())
polar.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
return polar
boxplot.render_notebook()
# %% [markdown]
# ### Polar -- 极坐标
import math
data=[]
# 生成数据，满足格式`[r, \theta]`，即可以认为角度为自变量、径向为因变量
for i in range(0, 360):
data.append([100 * math.sin(i/180 * math.pi), i])
polar = Polar()
polar.add("", data)
# 调整角度坐标轴样式
polar.add_schema(
angleaxis_opts=opts.AngleAxisOpts(
interval=90,
max_=360
)
)
polar.render_notebook()
# %% [markdown]
# #### 极坐标柱状图
polar = Polar()
polar.add("", list(zip(Faker.choose(), Faker.values())), type_="bar")
polar.add_schema(
radiusaxis_opts=opts.RadiusAxisOpts(type_="category"),
angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True)
)
polar.render_notebook()
