中的底部关键字斧杆或者板条允许精确设置每个棒盘的下限。我们对负值应用0-neg底部，对正值应用0-pos底部。在
此代码示例创建所需的绘图：import numpy as np
import matplotlib.pyplot as plt
# Juwairia's data:
a = [4,-6,9]
b = [2,7,1]
c = [3,3,1]
d = [4,0,-3]
data = np.array([a, b, c, d])
data_shape = np.shape(data)
# Take negative and positive data apart and cumulate
def get_cumulated_array(data, **kwargs):
cum = data.clip(**kwargs)
cum = np.cumsum(cum, axis=0)
d = np.zeros(np.shape(data))
d[1:] = cum[:-1]
return d
cumulated_data = get_cumulated_array(data, min=0)
cumulated_data_neg = get_cumulated_array(data, max=0)
# Re-merge negative and positive data.
row_mask = (data<0)
cumulated_data[row_mask] = cumulated_data_neg[row_mask]
data_stack = cumulated_data
cols = ["g", "y", "b", "c"]
fig = plt.figure()
ax = plt.subplot(111)
for i in np.arange(0, data_shape[0]):
ax.bar(np.arange(data_shape[1]), data[i], bottom=data_stack[i], color=cols[i],)
plt.show()
这是结果图：
