I created a random number graph and I want to have a more gap between the x axis and the graph because it looks hard to read. Does anyone have a idea how to do that? Thank you so much. Here is my example code.
from bqplot import Axis, LinearScale, OrdinalScale, Scatter, Figure, Tooltip, DateScale, Lines, Bars
import bql
import pandas as pd
from numpy import nan, isnan
from numpy.random import randint
import numpy as np
x_sc_bar_fsa = OrdinalScale()
y_sc_bar_fsa = LinearScale()
tt_bar_fsa = Tooltip(fields=['x', 'y'], formats=['','.2f'])
bar_fsa = Bars(stroke = 'white',scales={'x': x_sc_bar_fsa, 'y': y_sc_bar_fsa},padding=0.5,\
tooltip=tt_bar_fsa, unhovered_style={'opacity': 0.9}, type = 'grouped')
ax_x_bar_fsa = Axis(scale=x_sc_bar_fsa)
ax_y_bar_fsa = Axis(scale=y_sc_bar_fsa, orientation='vertical',tick_format='0.2f')
#Final Output
fig_bar_fsa = Figure(title='Random Number Graph for Testing',marks=[], axes=[ax_x_bar_fsa, ax_y_bar_fsa],padding_x=0)
def plot_bars_fsa(x_data, y_data, label_data,colors=['darkblue','royalblue','darkgreen','darkred','red']):
if (len(x_data) == 0) | (len(y_data) == 0) | (len(label_data) == 0):
fig_bar_fsa.marks = [] #Creates empty list if x-data, y-data and label data is missing i.e. =0
else: #otherwise display
bar_fsa.x = x_data
bar_fsa.y = y_data
y_sc_bar_fsa.min = 0
y_sc_bar_fsa.max = np.nanmax([np.nanmax(x) for x in y_data]) * 1.1
bar_fsa.labels = label_data
bar_fsa.colors = colors # Defined above
ax_x_bar_fsa.tick_rotate = -90 # This is the angle of the letters on the graph
ax_x_bar_fsa.tick_style = {'text-anchor': 'end'}
fig_bar_fsa.marks = [bar_fsa] #links marks to bar chart
example_df = pd.DataFrame(data=randint(0, 100, size=(10, 5)),
columns=['column_' + str(i) for i in range(5)])
example_df.index = ['namenumber1253','namenumber26675','namenumber339', 'namenumber2556','namenumber3109', 'namenumber5894','namenumber1355','namenumber685890', 'namenumber397', 'namenumber85']
plot_bars_fsa(example_df.index.values,\
[example_df[x].values for x in ['column_0','column_1','column_2','column_3','column_4']],\
['column_0','column_1','column_2','column_3','column_4'])
fig_bar_fsa
