Python数据可视化背景虚化

Question

Hello there wise programmers of the world

I´m 2 issues I have my dataset like this:

The first and main issue is that he is printing some weird plots, like this:

Makes no sense in comparison with the original plot that I´m using as reference ->

The second issue is that he is printing some error messages ->

ERROR:bokeh.core.validation.check:E-1001 (BAD_COLUMN_NAME): Glyph refers to nonexistent column name: female_literacy [renderer: GlyphRenderer(id='1fb09ca6-67a9-47c6-a528-a01030829385', ...)]
ERROR:bokeh.core.validation.check:E-1001 (BAD_COLUMN_NAME): Glyph refers to nonexistent column name: female_literacy [renderer: GlyphRenderer(id='4ed4e766-485c-409a-9d61-1e0fdbd81c62', ...)]
ERROR:bokeh.core.validation.check:E-1001 (BAD_COLUMN_NAME): Glyph refers to nonexistent column name: femaleliteracy [renderer: GlyphRenderer(id='13f9c2a6-d8fc-49b2-909b-ddb50313f619', ...)]
ERROR:bokeh.core.validation.check:E-1001 (BAD_COLUMN_NAME): Glyph refers to nonexistent column name: femaleliteracy [renderer: GlyphRenderer(id='379aabbe-feee-4324-9819-6a019b615991', ...)]

My code goes like this:

# Import row from bokeh.layouts
from bokeh.layouts import row

df = pd.read_csv('literacy_birth_rate.csv')
df.columns = ['Country ', 'Continent', 'femaleliteracy', 'fertility', 'population']
source = ColumnDataSource(df)

# Create the first figure: p1
p1 = figure(x_axis_label='fertility (children per woman)', y_axis_label='femaleliteracy (% population)')

# Add a circle glyph to p1
p1.circle(x='fertility', y='femaleliteracy', source=source)

# Create the second figure: p2
p2 = figure(x_axis_label='population', y_axis_label='femaleliteracy (% population)')

# Add a circle glyph to p2
p2.circle(x='population',y='femaleliteracy', source=source)

# Put p1 and p2 into a horizontal row: layout
layout = row(p1,p2)

# Specify the name of the output_file and show the result
output_file('fert_row.html')
show(layout)

******edited***********

***************editing again***********************

 Import row from bokeh.layouts
from bokeh.layouts import row
from bokeh.plotting import figure

df = pd.read_csv('literacy_birth_rate.csv')
df.columns = ['Country', 'Continent', 'femaleliteracy', 'fertility', 'population']
df.dropna(inplace=True)
source = ColumnDataSource(df)

# Create the first figure: p1
p1 = figure(x_axis_label='fertility (children per woman)', y_axis_label='femaleliteracy (% population)')

# Add a circle glyph to p1
p1.circle(x='fertility', y='femaleliteracy', source=source)

# Create the second figure: p2
p2 = figure(x_axis_label='population', y_axis_label='femaleliteracy (% population)')

# Add a circle glyph to p2
p2.circle(x='population',y='femaleliteracy', source=source)

# Put p1 and p2 into a horizontal row: layout
layout = row(p1,p2)

# Specify the name of the output_file and show the result
output_file('fert_row.html')
show(layout)

Answer 1

I´ve used

df.femaleliteracy = df.femaleliteracy.astype(float) 
df.fertility = df.fertility.astype(float) 

For newbies it´s important to indicate pay attention to column types ...

to convert from object type to float, and now the plot is working... thanks a lot ... !!!

the other problem was related to the fact that female_literacy was being used in a prior function call to the figure()... restarting the kernel solved that !!!