Trying to remove names from pyplot bar graph
Question:
So I am working with some data for a science fair project, and I am extremely new to pandas and matplotlib/pyplot. I am currently trying to make a graph of some data (a bar graph) and have been able to do so fine. I split my DataFrame into two parts: the name and the values themselves:
data = pd.read_csv('results.csv')
data = data.sort_values(by=['Accuracy'], ascending=False)
accuracy = data['Accuracy']
names = data['Name']
This works fine. And when I go to make my graph it also works fine:
plt.bar(names, accuracy)
plt.title('Accuracy Below 97%')
plt.ylabel('Accuracy in Percent')
plt.show()
But the only problem is that when I do this, my names are too long so it ends up as a sort of blur:
I also have around 40 data points which I understand is probably too many to be able see the names anyways, but the names are around 30 characters long so even if I reduced the amount of data points in a graph, it still would probably not work.
So I then I just assumed that I would remove names from plt.bar(names, accuracy) but this throws the error:
TypeError: bar() missing 1 required positional argument: 'height'
So I realized that I need a width value, and since the number of data point was 42 I then tried:
plt.bar(42, accuracy)
But this creates a weird graph that I am not looking for:
So my question is: how do I remove the names from the graph while keeping the actual graph the same?
Any help is greatly appreciated. Thanks!
Answers:
Here is what you want but you can handle those with this link instead of deleting the problem.
datetime x-axis matplotlib labels causing uncontrolled overlap
ax = data[['Accuracy','Name']].plot(title='Accuracy Below 97%')
ax.get_xaxis().set_visible(False)
pyplot.show()
if you want to remove the xticks labels from the graph
you can do
plt.xticks([])
Also, you can adjust the x-axis limits to remove the labels completely.
plt.xticks([])
plt.xlim(-0.5, len(accuracy)-0.5)
So I am working with some data for a science fair project, and I am extremely new to pandas and matplotlib/pyplot. I am currently trying to make a graph of some data (a bar graph) and have been able to do so fine. I split my DataFrame into two parts: the name and the values themselves:
data = pd.read_csv('results.csv')
data = data.sort_values(by=['Accuracy'], ascending=False)
accuracy = data['Accuracy']
names = data['Name']
This works fine. And when I go to make my graph it also works fine:
plt.bar(names, accuracy)
plt.title('Accuracy Below 97%')
plt.ylabel('Accuracy in Percent')
plt.show()
But the only problem is that when I do this, my names are too long so it ends up as a sort of blur:
I also have around 40 data points which I understand is probably too many to be able see the names anyways, but the names are around 30 characters long so even if I reduced the amount of data points in a graph, it still would probably not work.
So I then I just assumed that I would remove names from plt.bar(names, accuracy) but this throws the error:
TypeError: bar() missing 1 required positional argument: 'height'
So I realized that I need a width value, and since the number of data point was 42 I then tried:
plt.bar(42, accuracy)
But this creates a weird graph that I am not looking for:
So my question is: how do I remove the names from the graph while keeping the actual graph the same?
Any help is greatly appreciated. Thanks!
Here is what you want but you can handle those with this link instead of deleting the problem.
datetime x-axis matplotlib labels causing uncontrolled overlap
ax = data[['Accuracy','Name']].plot(title='Accuracy Below 97%')
ax.get_xaxis().set_visible(False)
pyplot.show()
if you want to remove the xticks labels from the graph
you can do
plt.xticks([])
Also, you can adjust the x-axis limits to remove the labels completely.
plt.xticks([])
plt.xlim(-0.5, len(accuracy)-0.5)