formatted_num = format(num, '.2f') print("原始数值:", num) print("科学记数法:", num) print("转换为常规小数:", formatted_num) 在这个示例中,我们使用了SymPy库来表示科学记数法。首先,我们导入了symbols和Eq模块。然后,我们定义了一个符号变量num来表示我们要处理的数值。接下来,我们使用format()...
importnumpyasnpdefoutput_scientific_notation(num):print('科学计数法输出:%e'%num)print('科学计数法输出:{:.2e}'.format(num))print(f'科学计数法输出:{num:.2e}')print('科学计数法输出:',np.format_float_scientific(num))if__name__=='__main__':num=1.23e6output_scientific_notation(num) 1....
lst = [1,2,3,'apple','orange']print(2inlst)# 输出 Trueprint('banana'notinlst)# 输出 True 2.元组(tuple) tup = (1,2,3,'apple','orange')print(3intup)# 输出 Trueprint('banana'notintup)# 输出 True 3.字典(dict) d = {'name':'John','age':30,'city':'New York'}print('n...
AI检测代码解析 defconvert_scientific_notation(scientific_notation):converted_number=int(scientific_notation)returnconverted_number# 测试示例scientific_notation_1="1e6"converted_number_1=convert_scientific_notation(scientific_notation_1)print(converted_number_1)# 输出:1000000scientific_notation_2="3.14e-4"c...
>>> # 指定表示方式>>> print('in decimal: {0:d}\nin binary : {0:b}'.format(10))# in decimal: 10# in binary : 1010>>> print('in fixed-point notation: {0:f}\nin scientific notation: {0:e}'.format(0.25))# in fixed-point notation: 0.250000# in scientific notation: 2.500000e...
The <values> on the right side get inserted into <format_string> in place of the conversion specifiers. The resulting formatted string is the value of the expression.Get started with an example where you call print() to display a formatted string using the string modulo operator:...
In the first example, you use the function to create an empty string. In the other examples, you get strings consisting of the object’s literals between quotes, which provide user-friendly representations of the objects. At first glance, these results may not seem useful. However, there are...
plt.figure(figsize = (16,6)) # Create matplotlib figure sns.heatmap(df.corr(), annot = True, linewidths=1, fmt=".2g", cmap= 'coolwarm') # fmt = .1e (scientific notation), .2f (2 decimal places), .3g(3 significant figures), .2%(percentage with 2 decimal places) plt.xticks(...
We can now call this function that will tell us whether our string contains a float value or not. # We have called the function# And print the resultprint(is_float('5.14'))# Trueprint(is_float('42'))# Trueprint(is_float('6.4179'))# True# Underscores are ignoredprint(is_float("1...
no1 = float(5800000.00000) no2 = float(0.0000058) print(f"{no1:.1E}") print(f"{no2:.1E}") Produzione: 5.8E+06 5.8E-06 Si noti che il modello di formato è lo stesso del metodo sopra. Usa la funzione numpy.format_float_scientific() per rappresentare i valori nella notazi...