I am trying to plot a bar graph using a dataframe, and I used the below code:
def add_line(ax, xpos, ypos):
line = plt.Line2D([xpos, xpos], [ypos + .1, ypos],
transform=ax.transAxes, color='gray')
line.set_clip_on(False)
ax.add_line(line)
def label_len(my_index,level):
labels = my_index.get_level_values(level)
return [(k, sum(1 for i in g)) for k,g in groupby(labels)]
def label_group_bar_table(ax, df):
ypos = -.1
scale = 1./df.index.size
for level in range(df.index.nlevels)[::-1]:
pos = 0
for label, rpos in label_len(df.index,level):
lxpos = (pos + .5 * rpos)*scale
ax.text(lxpos, ypos, label, ha='center', transform=ax.transAxes)
add_line(ax, pos*scale, ypos)
pos += rpos
add_line(ax, pos*scale , ypos)
ypos -= .1
from matplotlib.pyplot import figure
ax = my_df.plot(kind='bar')
ax.set_xticklabels('State')
ax.set_xlabel('Electricity consumed by every resource')
ax.plot([1,2,3])
#plt.xticks(rotation=90)
label_group_bar_table(ax, my_df)
My question is: How do I change the size of the plot and how can I make sure that the ticks are displayed vertically on the x-axis and ensure that the title of the x-axis and the ticks on the x-axis don't overlap?
While using 'figure', I know that the 'rotation' parameter can be changed to 90 to ensure that x ticks are vertical. I also understand that the 'figsize' can be used to set the size while using figure. But I am not sure how we should work with 'ax'.
Why are my y-axis ticks in decimal and what is that 'le11'? My data contains numbers that are 7 digit or 8 digits. Is there a way to ensure the y-axis also contains 7 or 8 digit numbers instead?
My graph looks like:
