我具有以下功能来绘制图形:
def plot_ATD(DataFrame):
#Initialise 225V ATD plot
fig = plt.figure()
ax = fig.add_subplot(111)
#take columns from data set and make to list which is passed to matplotlib to plot a graph
x = DataFrame['Arrival Time (ms)'].tolist()
y = DataFrame['Intensity'].tolist()
line, = ax.plot(x,y, 'r-')
#use numpy to get the max of Intensity, then determine the corresponding arrival time
ymax = np.max(y)
xpos = y.index(ymax)
xmax = x[xpos]
time = xmax
#add an annotation point at the maxima giving the arrival time at this position
# ax.annotate(s=text of annotation, xy=point to annotate, xytext=position to place text
# arrowprops=dict(facecolor=color of arrow))
ax.annotate(s=xmax, xy=(xmax, ymax), xytext=(xmax+5, ymax+5),
arrowprops=dict(facecolor='orange'),
)
#ax.set_ylim(0,600000)
ax.set_xlim(0,20)
plt.xlabel('Arrival time (ms)')
plt.title(DataFrame.name)
return plt.show()
我正在以下熊猫DataFrame上使用它:
V100 = pd.read_csv('Documents/spreadsheets/Data/100V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
V125 = pd.read_csv('Documents/spreadsheets/Data/125V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
V150 = pd.read_csv('Documents/spreadsheets/Data/150V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
V175 = pd.read_csv('Documents/spreadsheets/Data/175V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
V200 = pd.read_csv('Documents/spreadsheets/Data/200V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
V225 = pd.read_csv('Documents/spreadsheets/Data/225V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
我想让图形标题成为DataFrame的名称,即V100,V125等。
我不确定语法正确或如何执行?请帮忙!
答案 0 :(得分:2)
首先,在函数中使用DataFrame
作为数据框的名称不是一种好习惯,因为它是pandas.DataFrame
类本身的名称。例如,最好将其更改为df
。
因此,您可以使用(例如)设置数据框的名称
V100.name = 'V100'
并对所有数据框执行此操作。然后,在您的函数调用(新命名)df.name
中,获取先前分配给数据框的名称。
更新
要自动设置数据框名称,您只需执行
file_name = 'Documents/spreadsheets/Data/100V_9z.csv'
V100 = pd.read_csv(file_name, names=['Arrival Time (ms)', 'Intensity'])
V100.name = file_name.split('/')[-1].split('_')[0] # 'V100'
答案 1 :(得分:0)
解决方法:
Vs= [v for v in locals() if v.startswith('V')]
for v in Vs:
plot(eval(v),title=v)
在创建变量(例如,使用系列(或字典))时,必须使用更清洁的方法(因为eval
不安全):
ser=pd.Series()
ser['V100'] = pd.read_csv('Documents/spreadsheets/Data/100V_9z.csv', \
names=['Arrival Time (ms)', 'Intensity'])
将简化工作。