python数据可视化散景答案

【问题标题】：python data visualization bokehpython数据可视化散景
【发布时间】：2018-11-07 23:04:50
【问题描述】：

你好世界上聪明的程序员

我有 2 个问题我有这样的数据集：

第一个也是主要的问题是他打印了一些奇怪的情节，像这样：

与我用作参考的原始图相比毫无意义 ->

第二个问题是他正在打印一些错误信息->

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', ...)]

我的代码是这样的：

# 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)

******编辑*************

******************再次编辑****************************

 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)

【问题讨论】：

您确定此处显示的代码会重现错误吗？这些错误提到了您的代码中没有的“female_literacy”。
Country 后面有空格，先试试删掉..df.columns = ['Country ']
是的，我已经删除了空间，保持不变...不过谢谢...
代码中的female_literacy在哪里？
到处都没有female_literacy...我不知道他从哪里拿来的 !!!!!!???

标签： python data-visualization bokeh

【解决方案1】：

我用过

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

对于新手来说，请务必注意列类型...

从对象类型转换为浮点数，现在情节正在运行......非常感谢......！！！

另一个问题与 female_literacy 被用于之前对 figure() 的函数调用有关......重新启动内核解决了这个问题!!!

【讨论】：